Efficient graph representations
By J. Spinrad. Fields Institute Monographs, 2003
407 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/7bc63712e5670e26a0eebbc24e7d9a2f729190a2
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In Computational Theory and Mathematics
In Computer Vision and Pattern Recognition
Citations in the corpus
- A combinatorial interpretation of the poly-Bernoulli numbers and two Fermat analogues. (2008, methodology): “Also, data compression and recognition algorithms for Lonesum matrices can be found in [18].”
- Subcubic Equivalences between Path, Matrix and Triangle Problems (2010, unknown): “This problem is studied extensively (cf. References [10, 27, 39, 40, 52, 55, 74]) for its applications to network reliability.”
- EVEN-HOLE-FREE GRAPHS: A SURVEY (2010, background): “Note that this algorithm is robust in Spinrad’s sense [43]: given any graph G, the algorithm either verifies that G is not in C (or in particular that G is not a 4-hole-free odd-signable graph) or it generates all the maximal cliques of G.”
- The n-ordered graphs: A new graph class (2009, methodology): “Spinrad [9] observes that there is a similarity between partial orders of height two and bipartite graphs, so that we could use the results of Brightwell, Grable and Prömel to show that upper bounds of the form n exist for some of these graphs.”